Multivariate Time Series Imputation: An Approach Based on Dictionary Learning

The problem addressed by dictionary learning (DL) is the representation of data as a sparse linear combination of columns of a matrix called dictionary. Both the dictionary and the sparse representations are learned from the data. We show how DL can be employed in the imputation of multivariate time...

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Hlavní autoři:	Xiaomeng Zheng, Bogdan Dumitrescu, Jiamou Liu, Ciprian Doru Giurcăneanu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-07-01
Edice:	Entropy
Témata:	multivariate time series missing data imputation dictionary learning information theoretic criteria
On-line přístup:	https://www.mdpi.com/1099-4300/24/8/1057
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